Data and Code for: Multidimensional Skills, Sorting, and Human Capital Accumulation
Principal Investigator(s): View help for Principal Investigator(s) Jeremy Lise, University of Minnesota; Fabien Postel-Vinay, University College London
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| Data_and_code | 03/30/2020 06:10:PM |
Project Citation:
Lise, Jeremy, and Postel-Vinay, Fabien. Data and Code for: Multidimensional Skills, Sorting, and Human Capital Accumulation. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-07-23. https://doi.org/10.3886/E117662V1
Project Description
Summary:
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We construct a structural model of on-the-job search in which workers
differ in skills along several dimensions and sort themselves into
jobs with heterogeneous skill requirements along those same dimensions.
Skills are accumulated when used, and depreciate when not used. We
estimate the model combining data from O{*}NET with the NLSY79. We
use the model to shed light on the origins and costs of mismatch along
heterogeneous skill dimensions. We highlight the deficiencies of relying
on a unidimensional model of skill when decomposing the sources of
variation in the value of lifetime output between initial conditions
and career shocks.
Scope of Project
JEL Classification:
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J24 Human Capital; Skills; Occupational Choice; Labor Productivity
J31 Wage Level and Structure; Wage Differentials
J62 Job, Occupational, and Intergenerational Mobility; Promotion
J64 Unemployment: Models, Duration, Incidence, and Job Search
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
J31 Wage Level and Structure; Wage Differentials
J62 Job, Occupational, and Intergenerational Mobility; Promotion
J64 Unemployment: Models, Duration, Incidence, and Job Search
Geographic Coverage:
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USA
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